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Dive into the research topics where Iain Pretty is active.

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Featured researches published by Iain Pretty.


Community Dental Health | 2017

Sugar before bed: a simple dietary risk factor for caries experience

Michaela Goodwin; Dipesh Patel; A Vyas; A.J Khan; Michael G McGrady; Nicola Boothman; Iain Pretty

Clinical care pathways have placed renewed emphasis on caries risk assessment and the ability to predict and prevent further disease. With diet considered a key factor in the development of caries, the level of caries risk posed by dietary habits, such as the frequency of intake and timing of free sugars is questioned. OBJECTIVE To identify reliable and simple dietary risk factors for caries experience. RESEARCH DESIGN A cross-sectional observational study of a convenience sample with data gained from clinical examinations, questionnaire and a 24 hour dietary-recall interview. PARTICIPANTS 128 subjects aged 11-12 from comprehensive schools in Greater Manchester and Newcastle upon-Tyne, UK. OUTCOME MEASURES free sugars consumed between meals, before bed and total % of total free sugars consumed were assessed from dietary assessments led by a dietitian. D4-6MFT was generated with a caries threshold of ICDAS stage 4 from clinical examinations. RESULTS Analysis revealed no significant differences in caries experience when looking specifically at caries into dentine, referred to as the cavity group (split at D4-6MFT), between high and low deprivation, consumption of free sugars between meals and free sugars (%). The consumption of free sugars within the hour before bed revealed a statistically significant difference between the cavity/no cavity groups (p=0.002). Logistic regression analysis on the cavity/no cavity groups revealed an odds ratio of 2.4 (95%CI 1.3,4.4) for free sugars consumption before bedtime. CONCLUSIONS The study suggests that the consumption of free sugars before bedtime may be an important risk factor for adolescent caries into dentine experience.


Community Dental Health | 2016

Prevalence and severity of dental fluorosis in four English cities

Iain Pretty; Nicola Boothman; J Morris; L MacKay; Zhao Liu; Michael G McGrady; Michaela Goodwin

Objective To assess the prevalence and severity of dental fluorosis in four city-based populations using a robust photographic method with TF index reporting; and to record the aesthetic satisfaction scores of children in all four cities. Basic research design Cross sectional epidemiological survey (surveillance). Participants 1,904 children aged 11-14 years, in four English cities. Interventions Two cities were served by community water fluoridation schemes supplying water at 1mg/l F. The other two cities did not have water fluoridation schemes and had low levels of fluoride naturally present. Main outcome measures The prevalence and severity of dental fluorosis. Scoring was undertaken using high quality digital images by a single calibrated examiner. Results Data suggest that the prevalence of fluorosis at levels greater than TF2 are broadly similar to previous studies (F 10%, NF 2%), with an apparent increase in the total number of TF1 cases across both fluoridated (41%) and non-fluoridated cities (32%) with a commensurate decrease in TF0 (F 39%, NF 63%). Data suggest that the proportion of children expressing dissatisfaction with the appearance of their teeth is the same in fluoridated and non-fluoridated communities although the reasons for this may differ. Conclusions The levels of fluorosis that might be considered of aesthetic concern are low and stable while the increase in TF1 may be due to an increase in self- and professionally-applied fluoride products or the increased sensitivity afforded by the digital imaging system. It is not however a public health problem or concern. Further monitoring appears justified.


BMC Oral Health | 2015

Prevention in practice--a summary.

Stephen Birch; Colette Bridgman; Paul Brocklehurst; R.P. Ellwood; Juliana Gomez; Michael Helgeson; Amid I. Ismail; Richard Macey; Angelo Mariotti; Svante Twetman; Philip M. Preshaw; Iain Pretty; Helen Whelton

BackgroundThis paper is a summary document of the Prevention in Practice Conference and Special Supplement of BMC Oral Health. It represents the consensus view of the presenters and captures the questions, comments and suggestions of the assembled audience.MethodsUsing the prepared manuscripts for the conference, collected materials from scribes during the conference and additional resources collated in advance of the meeting, authors agreed on the summary document.ResultsThe Prevention in Practice conference aimed to collate information about which diseases could be prevented in practice, how diseases could be identified early enough to facilitate prevention, what evidence based therapies and treatments were available and how, given the collective evidence, could these be introduced in general dental practice within different reimbursement models.ConclusionsWhile examples of best practice were provided from both social care and insurance models it was clear that further work was required on both provider and payer side to ensure that evidence based prevention was both implemented properly but also reimbursed sufficiently. It is clear that savings can be made but these must not be overstated and that the use of effective skill mix would be key to realizing efficiencies. The evidence base for prevention of caries and periodontal disease has been available for many years, as have the tools and techniques to detect, diagnose and stage the diseases appropriately. Dentistry finds itself in a enviable position with respect to its ability to prevent, arrest and reverse much of the burden of disease, however, it is clear that the infrastructure within primary care must be changed, and practitioners and their teams appropriately supported to deliver this paradigm shift from a surgical to a medical model.


Journal of Dentistry | 2018

Automatic detection and classification of dental fluorosis in vivo using white light and fluorescence imaging

Zhao Liu; Michaela Goodwin; R.P. Ellwood; Iain Pretty; Michael G McGrady

OBJECTIVES To assess a novel method of automatic fluorosis detection and classification from white light and fluorescent images. METHODS Dental images from 1,729 children living in two fluoridated and two non-fluoridated UK cities were utilised. A novel detection and classification algorithm was applied to each image and TF scores were obtained using thresholding criteria. These were compared to clinical reference standard images. Comparisons between reference and automated assessments were undertaken to record correct and incorrect classifications and the ability of the system to separate the fluoridated and non-fluoridated populations. RESULTS The automated system performed well and was able to differentiate the two populations (P < 0.0001) to the same degree as the reference standard. When using the highest score from the clinical assessment the agreement between automated and clinical assessments was 0.56 (Kappa SE = 0.0160, p < 0.0001). CONCLUSIONS Assessment of dental fluorosis is typically undertaken by clinical examiners in epidemiological studies. The training and calibration of such examiners is complex and time consuming and the assessments are subject to bias - frequently because of the examiners awareness of the water fluoridation status of subjects. The use of remote scoring using photographs has been advocated but still requires trained examiners. This study has shown that image-processing methodologies applied to white light and fluorescent images could automatically score fluorosis and statistically separate fluoridated and non-fluoridated areas. The system requires further refinement to manage confounding factors such as the presence of non-fluoride opacities and tooth stain.


Journal of Dentistry | 2018

Further opportunities for digital imaging in dental epidemiology

Richard Hogan; Michaela Goodwin; Nicola Boothman; Timothy Iafolla; Iain Pretty

Dental epidemiological research permits accurate tracking of the prevalence and distribution of oral disease across population groups, enabling planning and evaluation of public health interventions and healthcare service provision. This first section of this paper aimed to review traditional assessment methods in dental epidemiology and to consider the methodological and logistical benefits provided by digital imaging, both generally and specifically in relation to an established dual-camera system. The remainder of this paper describes the results of a semi-structured examination of an image archive from previous research utilising a dual-camera system, exploring whether the diagnostic yield of the images might be increased. Common oral conditions are presented alongside suggestions of the diagnostically useful data displayed in example images. Possible scoring mechanisms are discussed with consideration of the limitations that might be encountered for each condition. The retrospective examination suggests further data is obtainable from images acquired using the dual-camera system, however, consideration should be given to how best to validate this clinically. Additionally, other imaging modalities are discussed whilst taking into account the potential limitations of the dual-camera system.


Journal of Dentistry | 2018

Digital epidemiology – Calibrating readers to score dental images remotely

Bruce A. Dye; Michaela Goodwin; R.P. Ellwood; Iain Pretty

BACKGROUND There is growing interest to use digital photographs in dental epidemiology. However, the reporting of procedures and metric-based performance outcomes from training to promote data quality prior to actual scoring of digital images has not been optimal. METHODS A training study was undertaken to assess training methodology and to select a group of scorers to assess images for dental fluorosis captured during the 2013-2014 National Health and Nutrition Examination Survey (NHANES). Ten examiners and 2 reference examiners assessed dental fluorosis using the Deans Index (DI) and the Thylstrup-Fejerskov (TF) Index. Trainees were evaluated using 128 digital images of upper anterior central incisors at three different periods and with approximately 40 participants during two other periods. Scoring of all digital images was done using a secured, web-based system. RESULTS When assessing for nominal fluorosis (apparent vs. non-apparent), the unweighted Kappa for DI ranged from 0.68 to 0.77 and when using an ordinal scale, the linear-weighted kappa for DI ranged from 0.43 to 0.69 during the final evaluation. When assessing for nominal fluorosis using TF, the unweighted Kappa ranged from 0.67 to 0.89 and when using an ordinal scale, the linear-weighted kappa for TF ranged from 0.61 to 0.77 during the final evaluation. No examiner improvement was observed when a clinical assessment feature was added during training to assess dental fluorosis using TF, results using DI was less clear. CONCLUSION Providing examiners theoretical material and scoring criteria prior to training may be minimally sufficient to calibrate examiners to score digital photographs. There may be some benefit in providing an in-person training to discuss criteria and review previously scored images. Previous experience as a clinical examiner seems to provide a slight advantage at scoring photographs for DI, but minimizing the number of scorers does improve inter-examiner concordance for both DI and TF.


BMC Health Services Research | 2018

Implementing and evaluating a primary care service for oral surgery: a case study

Joanna Goldthorpe; Caroline Sanders; Lesley Gough; Jean Rogers; Colette Bridgman; Martin Tickle; Iain Pretty

BackgroundA primary care oral surgery service was commissioned alongside an electronic referral management system in England, in response to rising demand for Oral Surgery services in secondary care. It is important to ensure that standards of quality and safety are similar to those in existing secondary care services, and that the new service is acceptable to stakeholders. The aim of this study is therefore to conduct an in depth case study to explore safety, quality, acceptability and implementation of the new service.MethodsThis case study draws on multiple sources of evidence to report on the commissioning process, implementation, treatment outcomes and acceptability to patients relating to a new oral surgery service in a primary care setting. A combination of audit data and interviews were analysed.ResultsMost referrals to the new service consisted of tooth extractions of appropriate complexity for the service. There were issues with lack of awareness of the new service in a primary care setting within referring primary care practices and patients at the start of implementation, however over time the service became a fully integrated part of the service landscape. Complications reported following surgery were low.ConclusionPatients liked the convenience of the new service in terms of shorter waiting time and geographical location and their patient reported experience measures and outcomes were similar to those reported in secondary care. Providing appropriate clinical governance was in place, oral surgery could safely be provided in a primary care setting for patients without complex medical needs. Attention needs to be paid to communication with general dental practices around changes to the service pathway during the early implementation period to ensure all patients can receive care in the most appropriate setting.


BMC Oral Health | 2016

The CATFISH study protocol: an evaluation of a water fluoridation scheme

Michaela Goodwin; Richard Emsley; M. J. Kelly; Eric Rooney; Matt Sutton; Martin Tickle; Rebecca Wagstaff; Tanya Walsh; William Whittaker; Iain Pretty


Community Dentistry and Oral Epidemiology | 2018

A comparison of dental fluorosis in adult populations with and without lifetime exposure to water fluoridation

Richard Macey; Martin Tickle; Laura Mackay; Michael G McGrady; Iain Pretty


BMC Public Health | 2018

Bedtime routines child wellbeing & development

George Kitsaras; Michaela Goodwin; Julia L. Allan; Michael P. Kelly; Iain Pretty

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Martin Tickle

University of Manchester

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R.P. Ellwood

University of Manchester

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Richard Macey

University of Manchester

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Zhao Liu

University of Manchester

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